Literature DB >> 20581675

The effectiveness of national guidelines for preventing cardiovascular disease: integrating effectiveness concepts and evaluating guidelines' use in the real world.

Douglas G Manuel1.   

Abstract

PURPOSE OF REVIEW: Clinical guidelines historically have emphasized efficacy (intervention benefit in a controlled or experimental setting) rather than effectiveness (intervention benefit in the real world). This review examines how concepts of effectiveness currently influence the development of guidelines for prevention of cardiovascular disease, and how these concepts contribute to increased evaluation of guideline effectiveness. RECENT
FINDINGS: A growing emphasis on effectiveness in cardiovascular preventive guidelines is largely influenced by a desire for guidelines to facilitate improved quality of care. Single risk factor guidelines for cardiovascular disease are being merged, and guideline recommendations are becoming simpler and easier to implement into practice. Simultaneously, guideline programs are undertaking a wider range of development, implementation and evaluation activities. Implementation science, a supporting discipline, is rapidly maturing and resulting in increasingly sophisticated studies designed to test the effectiveness of prevention interventions and approaches to improve guideline uptake. Modelling studies are used to develop effective guideline recommendations and evaluate the overall effectiveness of guidelines for reducing cardiovascular disease.
SUMMARY: A sea change is occurring in cardiovascular guidelines toward effectiveness and prevention of multiple chronic diseases, and away from a focus on the efficacy of medical therapy for individual cardiovascular disease risk factors. The 'effectiveness sea' should eventually stretch to embrace cost-effectiveness and population effectiveness.

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Year:  2010        PMID: 20581675     DOI: 10.1097/MOL.0b013e32833c1f2b

Source DB:  PubMed          Journal:  Curr Opin Lipidol        ISSN: 0957-9672            Impact factor:   4.776


  2 in total

1.  Cardiovascular Disease Population Risk Tool (CVDPoRT): predictive algorithm for assessing CVD risk in the community setting. A study protocol.

Authors:  Monica Taljaard; Meltem Tuna; Carol Bennett; Richard Perez; Laura Rosella; Jack V Tu; Claudia Sanmartin; Deirdre Hennessy; Peter Tanuseputro; Michael Lebenbaum; Douglas G Manuel
Journal:  BMJ Open       Date:  2014-10-23       Impact factor: 2.692

2.  Predicting Stroke Risk Based on Health Behaviours: Development of the Stroke Population Risk Tool (SPoRT).

Authors:  Douglas G Manuel; Meltem Tuna; Richard Perez; Peter Tanuseputro; Deirdre Hennessy; Carol Bennett; Laura Rosella; Claudia Sanmartin; Carl van Walraven; Jack V Tu
Journal:  PLoS One       Date:  2015-12-04       Impact factor: 3.240

  2 in total

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